class_docstr: A LearningRateSchedule that uses an delayed cosine decay schedule.
code: def get_config(self):
      return {
          "initial_learning_rate": self.initial_learning_rate,
          "constant_learning_rate": self.constant_learning_rate,
          "end_learning_rate": self.end_learning_rate,
          "warmup_steps": self.warmup_steps,
          "start_decay_step": self.start_decay_step,
          "decay_steps": self.decay_steps,
          "name": self.name,
      }
  
file_path: graphics/tensorflow_graphics/projects/points_to_3Dobjects/losses/learning_rate_schedule.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import tensorflow
label_desc: Use image node_id 3 for calling the WarmupDelayedCosineDecay obj's underlying member method code with example usage: obj.get_config() and returns: dict